Triple

T11817536
Position Surface form Disambiguated ID Type / Status
Subject Carroll Clark E281039 entity
Predicate notableWork P4 FINISHED
Object Top Hat E43618 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Top Hat | Statement: [Carroll Clark, notableWork, Top Hat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Top Hat
Context triple: [Carroll Clark, notableWork, Top Hat]
  • A. Top Hat chosen
    Top Hat is a 1935 Hollywood musical film starring Fred Astaire and Ginger Rogers, renowned for its elegant dance sequences, Irving Berlin songs, and status as a classic of the genre.
  • B. Thin Man
    Thin Man is a slender, humanoid alien infiltrator from the XCOM video game series known for disguising itself as a human and using poison-based attacks.
  • C. Song and Dance
    Song and Dance is a two-act musical by Andrew Lloyd Webber that uniquely combines a song cycle with a dance-based narrative.
  • D. Mack & Mabel
    Mack & Mabel is a 1974 Broadway musical by Jerry Herman that dramatizes the turbulent relationship between silent film director Mack Sennett and his star Mabel Normand.
  • E. Duck Soup
    Duck Soup is a classic 1933 Marx Brothers political satire film renowned for its rapid-fire wit and anarchic comedy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131cbf9708190ba8394fb3508b975 completed April 28, 2026, 10:16 p.m.
Created at: April 8, 2026, 9:42 p.m.